The Development of Safety Cases for an Autonomous Vehicle: A Comparative Study on Different Methods

Junfeng Yang; Michael Ward; Jahangir Akhtar

doi:10.4271/2017-01-2010

The Development of Safety Cases for an Autonomous Vehicle: A Comparative Study on Different Methods

Junfeng Yang, Michael Ward, Jahangir Akhtar

Birmingham City University

Research output: Contribution to journal › Conference article › peer-review

1 Citation (Scopus)

Original language	English
Journal	SAE Technical Papers
Volume	Part F129886
Issue number	September
DOIs	https://doi.org/10.4271/2017-01-2010
Publication status	Published (VoR) - 23 Sept 2017
Event	SAE 2017 Intelligent and Connected Vehicles Symposium, ICVS 2017 - Kunshan, Jiangsu, China Duration: 26 Sept 2017 → 27 Sept 2017

Funding

This project was funded by Innovate UK (grant agreement No. 102583) and supported by the Centre for Connected and Autonomous Vehicles, UK.

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10.4271/2017-01-2010

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title = "The Development of Safety Cases for an Autonomous Vehicle: A Comparative Study on Different Methods",

author = "Junfeng Yang and Michael Ward and Jahangir Akhtar",

note = "Funding Information: This project was funded by Innovate UK (grant agreement No. 102583) and supported by the Centre for Connected and Autonomous Vehicles, UK. Publisher Copyright: Copyright {\textcopyright} 2017 SAE International.; SAE 2017 Intelligent and Connected Vehicles Symposium, ICVS 2017 ; Conference date: 26-09-2017 Through 27-09-2017",

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AU - Yang, Junfeng

AU - Ward, Michael

AU - Akhtar, Jahangir

N1 - Funding Information: This project was funded by Innovate UK (grant agreement No. 102583) and supported by the Centre for Connected and Autonomous Vehicles, UK. Publisher Copyright: Copyright © 2017 SAE International.

PY - 2017/9/23

Y1 - 2017/9/23

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DO - 10.4271/2017-01-2010

M3 - Conference article

AN - SCOPUS:85028961967

SN - 0148-7191

VL - Part F129886

JO - SAE Technical Papers

JF - SAE Technical Papers

IS - September

Y2 - 26 September 2017 through 27 September 2017

ER -

The Development of Safety Cases for an Autonomous Vehicle: A Comparative Study on Different Methods

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